An Improved Image Encoding Algorithm Based on EZW and Huffman Joint Encoding

Embedded zero tree wavelet coding (EZW) is an effective image coding algorithm, Study on the output stream of P, N, T, Z symbol, they are appeared with inequality probability. In order to reduce the desired number of digits used in coding, this paper proposes an EZW and Huffman joint encoding algori...

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Bibliographic Details
Published in:2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing pp. 217 - 220
Main Author: Zhang Wei
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2014
Subjects:
coding efficiency
Decoding
Encoding
EZW
Image coding
Joint coding
Joints
Probability
Wavelet coefficients
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Summary:Embedded zero tree wavelet coding (EZW) is an effective image coding algorithm, Study on the output stream of P, N, T, Z symbol, they are appeared with inequality probability. In order to reduce the desired number of digits used in coding, this paper proposes an EZW and Huffman joint encoding algorithm. The experimental results shows, compared with the independent EZW algorithm, the joint encoding algorithm can improve the efficiency of image compression and coding.
DOI:10.1109/3PGCIC.2014.64